nlp engineer

Unisys

<div>What success looks like in this role:
Join our team and work with Fortune 500 companies to revolutionize IT Service Management (ITSM) processes using cutting-edge large language models (LLMs) for knowledge curation and content generation. As an LLM Engineer, you will have the opportunity to experiment, design, and own end-to-end generative AI solutions that significantly enhance knowledge management for global enterprises. 
 
Hereby the tasks that are waiting for you:
<ul><li>Lead the development of LLM-powered ITSM knowledge curation and content generation solutions for Fortune 500 customers.
</li><li>Conduct feasibility studies for LLM-based solutions and contribute to their operationalization.
</li><li>Design, fine-tune, and deploy LLM-based knowledge generation models.
</li><li>Establish coding standards and best practices within the engineering team.
</li><li>Own MLOps processes for LLM deployment and monitoring.
</li><li>Innovate and experiment with generative AI models to push the boundaries of knowledge management.
</li><li>Develop and own features that have a direct impact on knowledge curation for large-scale enterprise environments.
</li><li>Receive support through professional development plans to help you excel in this high-impact role.
</li></ul>You will be successful in this role if you have:
<ul><li>At least 4 years of experience in Software Engineering, Machine Learning, or LLM Engineering.
</li><li>Extensive experience with Python and SQL, along with expertise in NLP and large language models (LLMs).
</li><li>Strong understanding of algorithms, data structures, and machine learning techniques.
</li><li>A solid background in statistics and mathematics.
</li><li>Proven experience operationalizing machine learning and LLM-based solutions.
</li><li>Experience working with cloud providers like Azure, AWS or Google Cloud.
</li><li>Familiarity with Spark or similar big data technologies.
</li><li>Ability to quickly adapt to new technologies and problem domains.
</li><li>A collaborative mindset with the ability to work both independently and as part of a team.
</li><li>Strong written and verbal communication skills in English.
</li></ul>Benefits
<ul><li>Become part of our &quot;Winning Culture&quot;! An international and varied field of work with worldwide opportunities awaits you! We always strive for the optimum for our first-class customers from a wide range of industries!
</li><li>Corporate Social Responsibility and DEI standards (Diversity, Ethics and Inclusion) are very important to us and go far beyond the usual! Associate Impact Groups are formed on a voluntary basis to further develop and support our DEI standards internally.
</li><li>Our Unisys University is available to you according to your individual needs. An MBA sponsorship program is also available! Our goal is to help you realize your individual potential!
</li><li>International work opportunities abroad for all employees
</li><li>&quot;Wellbeing &amp; Employee Assistance Program&quot;: Your (mental) health is important to us and is treated confidentially by a neutral party!
</li><li>Solid qualification-, performance- &amp; competence-based remuneration model, attractive pension scheme and various allowances
</li><li>Bonus/referral/incentive/recognition programs - we want you to feel appreciated at Unisys!
</li><li>Extended health insurance coverage also for private use
</li><li>free parking lots and bike garage
</li><li>extremely talented colleagues 
</li></ul> 
Salary Range : up to 81.300 &euro; gross (before tax) per annum depending on your competencies, skills and experience 
 
#LI-LO1
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys&rsquo; EEO commitment here .</div>

Senior Machine Learning/ NLP Engineer

Bizmatic Technologies

About UsWe are building a next-generation restaurant POS system that doesn&rsquo;t just manage orders, it analyses consumer behavior, identifies trends, and generates actionable insights. With data flowing in daily from thousands of transactions, we want to harness the power of Generative AI to create personalized reports and tools that help restaurant owners grow smarter and faster.We&rsquo;re looking for a Generative AI &amp; NLP Engineer with a strong foundation in Machine Learning, Deep Learning, and Natural Language Processing to help us fine-tune large language models and embed AI-driven personalization directly into our platform.Key Responsibilities:<ul><li>Fine-tune and customize LLMs (e.g., LLaMA, GPT-4o, Gemini, Claude) for domain-specific outputs using structured and unstructured POS data.</li><li>Apply techniques like LoRA, QLoRA, instruction tuning, or adapter layers for efficient training.</li><li>Build and manage pipelines for data cleaning, preparation, tokenization, and evaluation of large datasets (e.g., receipts, customer feedback, usage logs).</li><li>Use prompt engineering and embedding techniques to create high-quality, contextual outputs.</li><li>Integrate and manage APIs from OpenAI, Anthropic, Google, HuggingFace, or others to support in-product personalization.</li><li>Collaborate with our data, engineering, and product teams to deliver AI-powered reports and features to end users.</li><li>Stay updated with the latest in transformers, RAG, vector databases, and fine-tuning strategies.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>Strong theoretical and practical understanding of:</li><li>Machine Learning</li><li>Deep Learning (RNNs, Transformers)</li><li>Natural Language Processing (NLP)</li><li>Generative AI (LLMs, diffusion models, etc.)</li><li>Proficiency in Python, with experience in libraries like Transformers, PyTorch, TensorFlow, Scikit-learn.</li><li>Hands-on experience with fine-tuning or customizing LLMs using real-world datasets.</li><li>Experience working with structured data (CSV, SQL) and text data simultaneously.</li></ul>Nice to Have<ul><li>Experience with LLMOps, model versioning, or deployment pipelines.</li><li>Previous work with restaurant tech, retail, or POS systems.</li><li>Familiarity with visualization tools for auto-generating AI reports.</li></ul>What You&rsquo;ll Get<ul><li>A chance to work on high-impact AI projects in a real-world business context.</li><li>Full ownership of generative AI initiatives within a forward-thinking product team.</li><li>Flexibility to research and implement the latest advances in AI and ML.</li><li>A collaborative remote-first environment focused on innovation and speed.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

Generative AI & NLP Engineer – POS Intelligence & Personalization

Make Fortune Business Solutions

About UsReal Law AI is a legal tech startup in the UAE. Founded in 2024, we already have 500+ paying users.What You&rsquo;ll Do (Key Responsibilities)<ul><li>Build the core AI chatbot with RAG.</li><li>Optimize RAG pipelines.</li><li>Develop semantic search (Elasticsearch).</li><li>Work with LLMs.</li><li>Engineer data pipelines.</li><li>Ensure integrations and collaboration across systems.</li></ul>Who You Are (Required Skills)<ul><li>Proven experience as an AI/ML Engineer with a strong project portfolio in NLP and/or Conversational AI.</li><li>Solid hands-on expertise with Python and ML frameworks (e.g., PyTorch, Hugging Face, LangChain).</li><li>Strong track record in building and deploying RAG systems and working with vector databases (e.g., Pinecone, Milvus, Weaviate).</li><li>Strong understanding of search technologies, especially Elasticsearch.</li><li>Strong foundation in NLP concepts, including transformers, embeddings, and NER.</li><li>Experience with cloud infrastructure and services (e.g., AWS S3).</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li></ul>Nice to Have (Preferred Skills)<ul><li>Experience with different open-source and proprietary LLMs.</li><li>Experience with Arabic NLP.</li><li>Familiarity with MLOps principles and tools for deploying and monitoring models.</li><li>Passion for building intuitive user interfaces.</li></ul>If you are a creator passionate about developing intelligent conversational AI to solve real, meaningful problems, we want to hear from you. Apply now and help us build the future of law.What We Offer<ul><li>Competitive salary (negotiable).</li><li>Friendly, non-toxic team culture.</li><li>Flexible format: hybrid or remote work.</li></ul>Job Types: Full-time, Temporary, ContractApplication Question(s):<ul><li>How many years of work experience do you have with Python?</li></ul><ul><li>How many years of proven experience as an AI/ML Engineer in NLP do you have?</li></ul>

AI Engineer

Future Leap PMC OPC Private Limited

We are seeking an experienced Machine Learning Engineer to develop advanced ML/NLP solutions for clinical data management. The role involves building models for OCR, terminology recognition, structured data extraction, and discrepancy detection, with a focus on healthcare compliance and scalability.Responsibilities:<ul><li>Design, train, and deploy ML/NLP models for clinical documents.</li><li>Implement OCR and medical terminology recognition.</li><li>Build query generation and discrepancy detection modules.</li><li>Integrate ML pipelines into production with cross-functional teams.</li></ul>*Skills Required:<ul><li>Master&rsquo;s/PhD in CS, Data Science, or related field.</li><li>3+ years in ML/NLP (healthcare domain preferred).</li><li>Strong skills in LLMs, PyTorch/TensorFlow, Hugging Face, OCR frameworks.</li><li>Experience with AWS Bedrock, SageMaker, and privacy-preserving ML.</li></ul>Job Type: Full-timeWork Location: In person

Machine Learning Engineer

Capital Healthcare

Company Name: Advanced IT &amp; Healthcare Solutions Job Title: Machine Learning/AI Engineer Job Type: Full-time Location: OnsiteJob OverviewWe are seeking a highly skilled Machine Learning/AI Engineer with strong expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. The ideal candidate should also have working knowledge of Computer Vision and experience deploying models on cloud platforms.Key Responsibilities<ul><li>Develop and fine-tune LLMs (GPT, BERT, LLaMA, etc.) for NLP applications</li><li>Build innovative solutions using Generative AI</li><li>Implement models for text classification, sentiment analysis, chatbots, and summarization</li><li>Optimize and deploy AI models using TensorFlow, PyTorch, or Hugging Face</li><li>Apply computer vision techniques (object detection, image recognition)</li><li>Deploy AI solutions on AWS, GCP, or Azure</li><li>Stay updated with the latest AI research and advancements</li><li>Ensure compliance with ethical AI practices, data privacy, and security standards</li></ul>Requirements<ul><li>Minimum 2 years of relevant experience</li><li>Strong expertise in NLP, LLMs, and Generative AI</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)</li><li>Experience with NLP, computer vision, or reinforcement learning</li><li>Hands-on cloud deployment experience (AWS, GCP, Azure)</li><li>Knowledge of data preprocessing, feature engineering, and large-scale data handling</li><li>Familiarity with Docker, Kubernetes, and CI/CD workflows</li><li>Experience with MLOps and cloud AI services</li><li>Familiarity with LangChain and LangGraph frameworks</li><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Machine Learning, or related field</li></ul>How to ApplyInterested candidates may send their CV/Resume to: mycapitalhealthcare@gmail.comJob Type: Full-timePay: Rs50,000.00 - Rs60,000.00 per monthWork Location: In person

Sr. AI/ML Engineer

CleanLife

Job Posting: AI EngineerJob ObjectiveWe are seeking a creative AI Engineer with strong technical and practical expertise to develop advanced intelligent solutions that enhance operational efficiency, improve customer satisfaction, and support data-driven decision-making through forecasting and advanced analytics.Key Responsibilities<ul><li>Develop advanced artificial intelligence and machine learning models to accurately forecast project delays and estimate job durations.</li><li>Design and implement sophisticated scheduling and route optimization solutions leveraging Google OR-Tools.</li><li>Detect and resolve scheduling conflicts, including overlaps and idle periods, through automated methodologies.</li><li>Improve customer engagement by deploying NLP-powered chatbots integrated with WhatsApp and other communication channels.</li><li>Integrate AI-driven systems with Zoho FSM, CRM, and Books utilizing APIs.</li><li>Conduct thorough analyses of operational and customer data to generate actionable insights.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li><li>3&ndash;5 years of professional experience in AI/ML development.</li><li>Proficient in Python and experienced with relevant ML/NLP frameworks (TensorFlow, PyTorch, Scikit-learn, spaCy).</li><li>Experience with Google OR-Tools or similar platforms for optimization and scheduling solutions.</li><li>Skilled in database technologies such as PostgreSQL and SQL Server.</li><li>Experienced in REST API integration; familiarity with Zoho platforms is advantageous.</li><li>Practical experience in delivering chatbot and NLP projects is preferred.</li></ul>Soft Skills<ul><li>Exceptional analytical and problem-solving abilities.</li><li>Strong team player, effective in cross-functional collaboration.</li><li>Excellent communication skills with both technical and non-technical stakeholders.</li><li>High attention to detail, quick learner, and consistently delivers on time.</li></ul>Think you&rsquo;re the right fit?Join us and be part of an innovative team building cutting-edge AI solutions that make a real impact.&#1606;&#1608;&#1593; &#1575;&#1604;&#1608;&#1592;&#1610;&#1601;&#1577;: &#1583;&#1608;&#1575;&#1605; &#1603;&#1575;&#1605;&#1604;

Marketing Tech Sol

We are seeking a highly skilled Machine Learning/AI Engineer with strong expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. The ideal candidate should also have working knowledge of Computer Vision and experience deploying models on cloud platforms.Key Responsibilities<ul><li>Develop and fine-tune LLMs (GPT, BERT, LLaMA, etc.) for NLP applications</li><li>Build innovative solutions using Generative AI</li><li>Implement models for text classification, sentiment analysis, chatbots, and summarization</li><li>Optimize and deploy AI models using TensorFlow, PyTorch, or Hugging Face</li><li>Apply computer vision techniques (object detection, image recognition)</li><li>Deploy AI solutions on AWS, GCP, or Azure</li><li>Stay updated with latest AI research and advancements</li><li>Ensure compliance with ethical AI practices, data privacy, and security standards</li></ul>Requirements<ul><li>Minimum 2 years of relevant experience</li><li>Strong expertise in NLP, LLMs, and Generative AI</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)</li><li>Experience with NLP, computer vision, or reinforcement learning</li><li>Hands-on cloud deployment experience (AWS, GCP, Azure)</li><li>Knowledge of data preprocessing, feature engineering, and large-scale data handling</li><li>Familiarity with Docker, Kubernetes, and CI/CD workflows</li><li>Experience with MLOps and cloud AI services</li><li>Familiarity with LangChain and LangGraph frameworks</li><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Machine Learning, or related field</li></ul>Share Your Resume : advitandhealthsol@gmail.com WhatsApp: 03126155418Job Type: Full-timePay: From Rs70,000.00 per monthWork Location: In person

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